Is there a way to update #timestamp in logstash so that microseconds are added?
In Kibana we've set the format to 'Date Nanos', but in logstash when we're using the date filter plug in to set #timestamp with the timestamp from the file, the microseconds seem to be ignored.
I think this is because the date filter plugin handles millisecond level accuracy, is this right? If so, what is the best way to set #timestamp to show the microseconds from the file being ingested?
Thanks
Sample from logstash file
date {
target => "#timestamp"
match => ["file_timestamp", "YYYY-MM-dd HH:mm:ss.SSSSSS"]
}
Format in Kibana
No, logstash only supports millisecond precision. When elasticsearch started supporting nanosecond precision no corresponding changes were made to logstash. There are two open issues on github requesting that changes be made, here and here.
The Logstash::Timestamp class only supports millisecond precision, because Joda, which it wraps, only supports milliseconds. Moving from Joda to native Java processing for time/date is mentioned in one of those issues. logstash expects [#timestamp] to be a Logstash::Timestamp (sprintf references assume this, for example)
You could use another field name, use a template to set the type to date_nanos in elasticsearch and process it as a string in logstash.
Related
In the logs I upload to Kibana have a "mytimestamp" field, supposedly of type Date but when I inject the logs and parsed it in json, my timestamp is converted to type string.
Do you know how can I convert my timestamp field from String to Date thanks to Filebeat ?
I must necessarily use Logstash ?
Thank you :)
This doesn't sound like you have an issue. Field can be timestamp in Kibana, but when you fetch results with REST API from elasticsearch you will get timestamps as strings because JSON itself doesn't have timestamp format defined, so it's up to the application that is parsing it to decide what is date and parse it properly. None of the tools for log ingestion is going to help you in this case.
i have a Elasticsearch cluster for storing logz, and my current timezone is+06, but Elasticsearch work in UTC +0, so how can i change the timezone in Elasticsearch cluster?
ES stores date-times in (UTC) and there's no cluster-/index-wide setting to change that.
With that being said, the time_zone parameter in available in both (range) queries and aggregations.
Also, as you index your date fields, there are (date)time formats that do support time zones. You can also use the date processor pipeline to append a certain time zone if your fields don't include one already.
I am using AWS managed ELK setup (ver 6.4.3). As per my understanding, Kibana uses #timestamp field to sort the data.
I have a field by name 'ts' (in epoch millis). I want to convert the format of 'ts' to that of #timestamp and want to use 'ts' field as the default in place of #timestamp.
I tried searching about it. It was related to using templates but couldnt really understand much there!
It would be great if anyone could help me here with the same.
Thanks!
I am looking for a way to measure the time logstash takes to output data into elastic search.
- There is this elapsed filter
https://www.elastic.co/guide/en/logstash/current/plugins-filters-elapsed.html, which I think can be used to measure the time taken to process the message through all the configured filters but not to measure the time taken to output to elastic search
- I also tried with a batch file with something like
echo starttime = %time%
cd c:\Temp\POC\Mattias\logstash-2.0.0\logstash-2.0.0\bin
logstash agent -f first-pipeline.conf
echo endtime = %time%
The problem with this approach is logstash doesn’t stop/exit after finishing a given input file.
Any help is highly appreciated!
Thanks and regards,
Priya
The elapsed{} filter is for computing the difference between two events (start/stop pairs, etc).
Logstash sets #timestamp to the current time. If you don't replace it (via the date{} filter), it will represent the time that logstash received the document.
Elasticsearch had a feature called _timestamp that would set a field by that name to the time of the elasticsearch server. For some reason, they've deprecated that feature in version 2.
As of right now, there is no supported way to get the time that elasticsearch indexed the data, so there is no supported way to determine the lag between logstash and elasticsearch and the processing time required by elasticsearch.
I was hoping that you could add a date field in your mapping and use the null_value to default the value to 'now', but that's not supported. Hopefully, they'll support that and reinstate this very useful feature.
I'm having some issues getting elasticsearch to interpret an epoch millis timestamp field. I have some old bro logs I want to ingest and have them be in the proper orders and spacing. Thanks to Logstash filter to convert "$epoch.$microsec" to "$epoch_millis"
I've been able to convert the field holding the bro timestamp to the proper length of digits. I've also inserted a mapping into elasticsearch for that field, and it says that the type is "Date" with the format being the default. However, when I go and look at the entries it still has a little "t" next to it instead of a little clock. And hence I can't use it for my filter view reference in kibana.
Anyone have any thoughts or have dealt with this before? Unfortunately it's a stand alone system so I would have to manually enter any of the configs I'm using.
I did try and convert my field "ts" back to an integer after using the method described in the link above. So It should be a logstash integer before hitting the elasticsearch mapping.
So I ended up just deleting all my mappings in Kibana, and elasticsearch. I then resubmitted and this time it worked. Must have been some old junk in there that was messing me up. But now it's working great!